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Oznake: computer science;machine learning
In EM and related algorithms, E-step computations distribute easily, because data items are independent given parameters. For very large data sets, however, even storing all of the parameters in a single node for the M-step can be impractical. We present a framework which fully distributes the entir ...
Leto: 2008 Vir: videolectures.net
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